Model2h ago
Fundamental Flaw Makes LLMs Permanently Vulnerable
Researchers at the International Conference on Machine Learning argue that LLMs cannot be fully secured against hacks. This vulnerability stems from the core architecture of how these models process information. The finding suggests that current safety patches are temporary fixes. Practitioners must assume a baseline of insecurity regardless of model scale.